Project 03: Online Payment Fraud Detection Using Machine Learning
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- Опубліковано 6 лют 2024
- 🚀 Welcome to the Multiverse of 100+ Data Science Project Series! 🌐 Join us in Project 03 as we explore the fascinating world of building a Online Payment Fraud System using Python.
📚 Series Overview:
Embark on an exhilarating data science journey with our Multiverse series, featuring over 100 captivating projects designed to expand your skills and knowledge. Whether you're a novice or a seasoned data scientist, our series offers something for everyone.
📖 Project 03: Online Payment Fraud Detection System
Discover the magic of personalized online payment fraud detection as we delve into the intricacies of building a online payment fraud detection system from scratch using Python. Dive deep into the realms of collaborative filtering, content-based filtering, and hybrid approaches to provide users with tailored book suggestions based on their preferences and behavior.
🔧 Tools and Technologies:
Python
Jupyter Notebooks
Pandas
NumPy
Scikit-learn
nltk
🚀 Join the Multiverse Community:
Connect with fellow data enthusiasts, share your insights, and seek assistance on our vibrant community forums. The Multiverse community is your hub for collaboration, learning, and growth in the dynamic field of data science.
🔗 Resources:
Access the code, datasets, and supplementary materials on our GitHub repository. Follow along with the tutorial and unlock the secrets of building online payment fraud detection systems using Python.
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Thank you so much for sharing your experience and knowledge, Sir.
Thank you for aware us 😊🙏🙏
How can I run this in localhost
Bhai Synopsis and code link provide kar diye .....
Pdf send chae bro please
Please provide the code files and the links in the description as soon as possible for free 🙏 thank you so much ❤️
Already Uploaded At Free🌻
@@knowledgedoctor3849 Try to update it like a code files instead of adding the notebook.
Also try to share the code as a Python format since it is showing as a HTML format when we click the code option. Thank You so much ❤️
EAGERLY WAITING for your AWESOME and AMAZING Projects. 👏 All The Best 👍
Noted, Best Solution 👍🌻
Send chae pdf